25,000 fps Computational Ghost Imaging with Ultrafast Structured Illumination

Hongxu Huang,Yuxuan Ma,Lijing Li,Mingjie Sun

doi:10.3390/electronicmat3010009

Hongxu Huang, Yuxuan Ma + Show 2 more

Open Access

https://doi.org/10.3390/electronicmat3010009

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Journal: Electronic Materials	Publication Date: Feb 24, 2022
Citations: 8	License type: CC BY 4.0

Affiliation: Beihang University

Abstract

Computational ghost imaging, as an alternative photoelectric imaging technology, uses a single-pixel detector with no spatial resolution to capture information and reconstruct the image of a scene. Due to its essentially temporal measurement manner, improving the image frame rate is always a major concern in the research of computational ghost imaging technology. By taking advantage of the fast switching time of LED, an LED array was developed to provide a structured illumination light source in our work, which significantly improves the structured illumination rate in the computational ghost imaging system. The design of the LED array driver circuit presented in this work makes full use of the LED switching time and achieves a pattern displaying rate of 12.5 MHz. Continuous images with 32 × 32 pixel resolution are reconstructed at a frame rate of 25,000 fps, which is approximately 500 times faster than what a universally used digital micromirror device can achieve. The LED array presented in this work can potentially be applied to other techniques requiring high-speed structured illumination, such as fringe 3D profiling and array-based LIFI.

Highlights

Compared with the conventional imaging method using a sensor array, the most prominent feature of the computational ghost imaging technique [1,2] is that only a singlepixel sensor is needed to obtain a two-dimensional image, which gives it the advantages of high sensitivity, anti-defocus, flexible design and high robustness
A computational ghost imaging system consists of three parts: an illumination modulation module, a light intensity detection module and an image reconstruction module
The total light intensity carrying the information of the object is recorded by the detection module and can be combined with the known modulated illumination information to compute a digital image using the image reconstruction module

Summary

Introduction

Compared with the conventional imaging method using a sensor array, the most prominent feature of the computational ghost imaging technique [1,2] is that only a singlepixel sensor is needed to obtain a two-dimensional image, which gives it the advantages of high sensitivity, anti-defocus, flexible design and high robustness. Computational ghost imaging has become one of the research hotspots of advanced optical imaging in recent years and has been applied to laser radar [3–5], target seeking [6], three-dimensional profiling [7–10], multispectral imaging [11–13], etc. A computational ghost imaging system consists of three parts: an illumination modulation module, a light intensity detection module and an image reconstruction module. A spatial light modulator (SLM) and a light source constitute the illumination modulation module and create a structured light field with deterministic patterns. The total light intensity carrying the information of the object is recorded by the detection module and can be combined with the known modulated illumination information to compute a digital image using the image reconstruction module. Computational ghost imaging systems can be applied to dynamic imaging scenarios, such as living cell imaging and video surveillance. As computational ghost imaging trades temporal resolution for spatial resolution, high requirements are put forward for the imaging frame rate of computational ghost imaging systems

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